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2020 | OriginalPaper | Chapter

A Complete Anti-collusion Mechanism in Blockchain

Authors : Xiangbin Xian, Zhenguo Yang, Guipeng Zhang, Tucua Miro de Nelio S., Wenyin Liu

Published in: Blockchain and Trustworthy Systems

Publisher: Springer Singapore

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Abstract

Collusion attack is an issue existing in most blockchains, especially for token-based decentralized applications using voting as consensus mechanism and incentive method. Malicious users may collude others to get more votes, in order to get rewards. We present a complete anti-collusion mechanism (CACM), aiming to cheat the malicious users who want to collude others. Each vote will be committed on smart contract and consumes the commitment for last vote. Zero knowledge Succinct Non-interactive Argument of Knowledge (zkSNARKs) is used to ensure the correctness of the voting and tallying operations in CACM. We implement CACM on the Ethereum test network, and the CACM circuit on local machine. The experiments show the low cost of time and gas respectively in generating zkSNARKs proof and interactions with smart contract, which proves CACM is efficient.

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Literature
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go back to reference Sean, B., Ariel, G.: Making groth’s zk-snark simulation extractable in the random oracle m-odel. IACR Cryptol. ePrint Arch. pp. 187 (2018) Sean, B., Ariel, G.: Making groth’s zk-snark simulation extractable in the random oracle m-odel. IACR Cryptol. ePrint Arch. pp. 187 (2018)
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go back to reference Xiangbin, X., Zhenguo, Y., Wenyin, L.: Improved consensus mechanisms against censorshi-p attacks. In: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (2019) Xiangbin, X., Zhenguo, Y., Wenyin, L.: Improved consensus mechanisms against censorshi-p attacks. In: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (2019)
Metadata
Title
A Complete Anti-collusion Mechanism in Blockchain
Authors
Xiangbin Xian
Zhenguo Yang
Guipeng Zhang
Tucua Miro de Nelio S.
Wenyin Liu
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-9213-3_3

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